Image compression using a multilayer neural network

A property of neural networks is their ability to construct feature detectors as a result of supervised or unsupervised training. We demonstrate that a class of neural networks which produces topographic mappings [1] may be used to data compress SAR images. In Section II we summarise Kohonen's network learning algorithm, and we present an improved version of the algorithm in Section III. In Section IV we generalise the method to multilayer mappings and indicate how such networks might be implemented as table look-up operations. In Section V we apply such a multilayer network to the problem of data compressing SAR images.